Johan Steen
Impact in
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- Antibiotic Use and Resistance
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
Papers in
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- Advanced Causal Inference Techniques 11
- Statistical Methods in Epidemiology 4
- Co-authors
- Stijn Vansteelandt (13 shared papers)Beatrijs Moerkerke (5 shared papers)Tom Loeys (5 shared papers)Frank Van Overwalle (2 shared papers)Johan M. A. Decruyenaere (13 shared papers)Ning Ma (1 shared paper)Kris Baetens (1 shared paper)Dominique Benoît (5 shared papers)
- Journals
- Archives of Gynecology and Obstetrics (3 papers)Critical Care (3 papers)Statistics in Medicine (2 papers)Resuscitation (2 papers)Social Science & Medicine (1 paper)
- Partner nations
- BelgiumUnited KingdomFrance
In The Last Decade
Johan Steen
27 papers receiving 937 citations
Peers
Comparison fields: 5 of 101
- Applied Microbiology and Biotechnology 61
- Statistics and Probability 180
- Critical Care and Intensive Care Medicine 50
- Cognitive Neuroscience 95
- Nephrology 42
Countries citing papers authored by Johan Steen
This map shows the geographic impact of Johan Steen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Johan Steen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Steen more than expected).
Fields of papers citing papers by Johan Steen
This network shows the impact of papers produced by Johan Steen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Johan Steen. The network helps show where Johan Steen may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Steen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 226 | |
| 2 | 2013 | 105 | |
| 3 | 2017 | 98 | |
| 4 | 2020 | 80 | |
| 5 | 2014 | 61 | |
| 6 | 2019 | 55 | |
| 7 | 2020 | 46 | |
| 8 | 2013 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2018 | 31 | |
| 11 | 2020 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2020 | 25 | |
| 14 | 2024 | 21 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 4 |
About Johan Steen
Johan Steen is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine, Health Information Management and Nephrology, having authored 28 papers that have together received 949 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), Statistical Methods in Epidemiology (4 papers), Sepsis Diagnosis and Treatment (2 papers), Artificial Intelligence in Healthcare (2 papers), Acute Kidney Injury Research (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Nosocomial Infections in ICU (2 papers) and Palliative Care and End-of-Life Issues (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (61 citations), Statistics and Probability (180 citations), Critical Care and Intensive Care Medicine (50 citations), Cognitive Neuroscience (95 citations) and Nephrology (42 citations). Johan Steen has collaborated with scholars based in Belgium, United Kingdom and France. Frequent co-authors include Stijn Vansteelandt, Beatrijs Moerkerke, Tom Loeys, Frank Van Overwalle, Johan M. A. Decruyenaere, Ning Ma, Kris Baetens, Dominique Benoît, Jesper Clausager Madsen and Martin Linder. Their work appears in journals such as Archives of Gynecology and Obstetrics, Critical Care, Statistics in Medicine, Resuscitation and Social Science & Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.